The Statistical Physics of Fixation and Equilibration in Individual-Based Models (Paperback, Softcover reprint of the original 1st ed. 2016)

This thesis explores several interdisciplinary topics at the border of theoretical physics and biology, presenting results that demonstrate the power of methods from statistical physics when applied to neighbouring disciplines. From birth-death processes in switching environments to discussions on the meaning of quasi-potential landscapes in high-dimensional spaces, this thesis is a shining example of the efficacy of interdisciplinary research. The fields advanced in this work include game theory, the dynamics of cancer, and invasion of mutants in resident populations, as well as general contributions to the theory of stochastic processes. The background material provides an intuitive introduction to the theory and applications of stochastic population dynamics, and the use of techniques from statistical physics in their analysis. The thesis then builds on these foundations to address problems motivated by biological phenomena.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Springer Theses
Release date:	June 2018
First published:	2016
Authors:	Peter Ashcroft
Dimensions:	235 x 155 x 10mm (L x W x T)
Format:	Paperback
Pages:	164
Edition:	Softcover reprint of the original 1st ed. 2016
ISBN-13:	978-3-319-82296-9
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Science: general issues > General Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory Books > Science & Mathematics > Mathematics > Algebra > General Books > Science & Mathematics > Mathematics > Optimization > Game theory Books > Science & Mathematics > Mathematics > Applied mathematics > General Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > General Books > Medicine > Clinical & internal medicine > Diseases & disorders > Oncology > General
LSN:	3-319-82296-9
Barcode:	9783319822969

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